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Grant: Discovery Grants Program - Individual

Carleton University

$70,000.00

Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties

FY 2022-23

Summary
Therapid evolution of the global electronic industry is unceasingly introducingnew products operating at ever higher frequencies and bitrates. At such highdata rates, high-frequency effects become the dominant factor limiting theoverall performance of microelectronic systems. In addition, the fast risingdemand for multifunction and miniature products warrants integration ofheterogeneous circuit modules. As a result, the traditional boundaries betweendifferent design domains are fast vanishing. Moreover, variability of thegeometrical and physical parameters and its effect on the system performance isadding another major concern. This uncertainty becomes inevitable at all levelsof the design hierarchy. For example, manufacturing uncertainties cansignificantly influence the performance of on-chip interconnects, leading totiming variations that can propagate to the circuit or board level withnegative impact on the whole system performance and yield. The researchproposal calls for a paradigm shift in the development of the underlying designalgorithms and methodologies by promoting “Design for Uncertainties” as a majoringredient in the design process. As a step towards this goal, several of theplanned research activities are focused on the development of specializedstochastic algorithms to model and simulate the underlying statisticalinformation at different levels of the design hierarchy. In addition,systematic methods will be developed to incorporate these algorithms in thedesign cycle to achieve optimal design centering. The planned researchaddresses generic strategic issues common to high-speed applications and willadvance the state-of-art in a broad spectrum of interrelated topics. Thesuccess of the proposed research will provide designers with the ability toefficiently plan and design large-scale systems that are not currentlyfeasible; resulting in superior and more reliable multi-function electronic andcommunication products. In addition, the benefits of the proposed research are notlimited to the design of high-speed electronic systems since large-scale anduncertainty quantification challenges are common issues in several other fieldswithin engineering and science.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2017-06368
Name nom
Nakhla, Michel
Department département
Electronics - Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2017
Award amount
70000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:6
Partie
1
Nb partie
6
Application title
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
Application summary
Therapid evolution of the global electronic industry is unceasingly introducingnew products operating at ever higher frequencies and bitrates. At such highdata rates, high-frequency effects become the dominant factor limiting theoverall performance of microelectronic systems. In addition, the fast risingdemand for multifunction and miniature products warrants integration ofheterogeneous circuit modules. As a result, the traditional boundaries betweendifferent design domains are fast vanishing. Moreover, variability of thegeometrical and physical parameters and its effect on the system performance isadding another major concern. This uncertainty becomes inevitable at all levelsof the design hierarchy. For example, manufacturing uncertainties cansignificantly influence the performance of on-chip interconnects, leading totiming variations that can propagate to the circuit or board level withnegative impact on the whole system performance and yield. The researchproposal calls for a paradigm shift in the development of the underlying designalgorithms and methodologies by promoting “Design for Uncertainties” as a majoringredient in the design process. As a step towards this goal, several of theplanned research activities are focused on the development of specializedstochastic algorithms to model and simulate the underlying statisticalinformation at different levels of the design hierarchy. In addition,systematic methods will be developed to incorporate these algorithms in thedesign cycle to achieve optimal design centering. The planned researchaddresses generic strategic issues common to high-speed applications and willadvance the state-of-art in a broad spectrum of interrelated topics. Thesuccess of the proposed research will provide designers with the ability toefficiently plan and design large-scale systems that are not currentlyfeasible; resulting in superior and more reliable multi-function electronic andcommunication products. In addition, the benefits of the proposed research are notlimited to the design of high-speed electronic systems since large-scale anduncertainty quantification challenges are common issues in several other fieldswithin engineering and science.